A Review on Sleep Disorder Analysis and Applications Based on Artificial Intelligence

The recent developments in multi-modular sensor technology for analyzing physiological and psychological activities have brought a breakthrough in the biomedical engineering thereby aiding the real-time monitoring of various vital signals. The monitoring of circadian rhythms and EEG signals keeps a proper observation on sleep and analyzes various sleep disorders. The sleep patterns related to disease and wellness applications can be analyzed with the help of multi-sensor-generated data. Several challenges such as performance evaluation, data storage, processing and integration, modeling, and interpretation as well as curation are to be overcome in this field for expansion of this technology in the future. The digitalization of sleep is an interdisciplinary field of research incorporating neuroscience, bioengineering, epidemiology, clinical medicine, computer science, and electrical engineering. This chapter discusses various sleep disorders, AI, analysis, and applications available. Finally, the challenges and future scope are also discussed followed by the conclusion.